Type: | Package |
Title: | Global Charcoal Database |
Version: | 4.0.7 |
Date: | 2020-10-26 |
Author: | Global Paleofire Working Group <paleofire@univ-fcomte.fr> |
Maintainer: | Olivier Blarquez <blarquez@gmail.com> |
Description: | Contains the Global Charcoal database data. Data include charcoal series (age, depth, charcoal quantity, associated units and methods) and information on sedimentary sites (localisation, depositional environment, biome, etc.) as well as publications informations. Since 4.0.0 the GCD mirrors the online SQL database at http://paleofire.org. |
URL: | http://paleofire.org |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
Depends: | R(≥ 3.5.0) |
Suggests: | paleofire |
Imports: | raster |
LazyLoad: | yes |
Encoding: | UTF-8 |
RoxygenNote: | 7.1.1 |
NeedsCompilation: | no |
Packaged: | 2020-10-26 18:52:41 UTC; olivier |
Repository: | CRAN |
Date/Publication: | 2020-10-26 19:30:07 UTC |
GCD: Global Charcoal Database data
Description
The GCD package provides Global Charcoal Database data updated at regular intervals to be used in cunjuction with the paleofire package.
Details
Package: | GCD |
Type: | Package |
Version: | 4.0.0 |
Date: | 2018-03-01 |
License: | GPL (>=2) |
Author(s)
Global Paleofire Working Group <paleofire gmail.com>
References
Power, M., J. Marlon, P. Bartlein, and S. Harrison. 2010. Fire history and the Global Charcoal Database: a new tool for hypothesis testing and data exploration. Palaeogeography, Palaeoclimatology, Palaeoecology 291:52-59.
See Also
Examples
rm(list=ls())
library(GCD)
## Charcoal data:
data(paleofiredata)
head(paleofiredata)
## Associated sites informations:
data(paleofiresites)
head(paleofiresites)
Internal GCD Data
Description
Internal GCD Data
Basin size
Description
Basin size
Format
A data frame with 7 observations on the following 5 variables.
- ID_BASIN_SIZE
a numeric vector
- BASIN_SIZE_CODE
a character vector
- BASIN_SIZE_DESC
a character vector
- BASIN_SIZE_RANGE_MIN
a character vector
- BASIN_SIZE_RANGE_MAX
a character vector
Examples
data(basin_size)
## maybe str(basin_size) ; plot(basin_size) ...
Extraction methods
Description
Charcoal extractions methods present in the database
Format
A data frame with 13 observations on the following 3 variables.
- ID_METHOD
a factor with levels
ACID
CPRO
GRAV
HNPK
HVLQ
IMAG
NOTK
OPPF
OTHE
POLS
SIEV
SIPO
THSL
- METHOD
a factor with levels
Acidification of sample using gas chromatography to measure elemental carbon (Verardo etal 1990)
charcoal part Ided as opaque phytoclasts/pyrofusinite in palynofacies anlaysis
Charcoal part. Identified in thin slides (soil micromorphology)
Charcoal particles identified by imaging software
Charcoal separated by heavy liquid preparation
Cumulative probability (95% confidence interval) alluvial soil charcoal
GRAVIMETRIC chemical assay (Winkler method)
Hand picked charcoal from soil samples
Not known
Other
Pollen slide
Sieved
Sieved + Pollslide
- METH_CODE
a numeric vector
Examples
data(charcoal_methods)
## maybe str(charcoal_methods) ; plot(charcoal_methods) ...
Charcoal units
Description
Charcoal units used in GCD
Format
A data frame with 169 observations on the following 4 variables.
- unit
a factor with levels
%125
%DWT
%TOF
%WTO
100P
1012
1220
1422
1424
3869
5015
5075
6914
7510
7738
7PRA
8POS
ABSC
ARCC
AREA
ARPG
BCCT
C004
C010
C01K
C040
C100
C120
C125
C140
C150
C180
C250
C65X
CARE
CCMY
CG2M
CHCO
CHRX
CM10
CMGR
CMML
COML
CP20
CPAR
CPRA
DC13
FRAG
G05I
G10I
G250
GCHG
GCMY
GRG1
GRGR
GRPC
GT05
GT10
GT12
GT15
GT18
GT1M
GT24
GT25
GT2X
GT30
GT38
GT50
GT53
GT5C
LT12
LT13
LT18
LT1M
LT25
LT40
M2GR
M2ML
MCM3
MM2C
MM2G
MMDW
MMML
MT10
MULT
NOTK
ORDI
OTHE
PCM1
PCMY
PHYT
PP25
PP51
PP52
PPML
PPOL
PRAB
PROB
PTC0
PTC2
PTC3
PTCT
PX25
SQC0
SQCU
SQCY
SQG1
SQG5
SQL5
TOCA
TOM1
TOM2
TOM3
TOM4
TOM5
TOM6
TOM7
TOM8
TOM9
TOMX
TOTA
UCMY
V025
V100
V125
V255
V501
X01K
X105
X106
X120
X125
X150
X15G
X160
X180
X18C
X20P
X250
X25P
X310
X37P
X459
X500
X50U
X512
X515
X520
X53C
X550
X55P
X55U
XA1K
XARE
XARP
XARS
XC25
XCM3
XCOP
XFML
XFRG
XFRP
XFRS
XIMG
XPEA
XPEE
XPIX
XRIF
- qtype
a factor with levels
C0P0
CONC
INFL
NOTK
OTHE
SOIL
- type
a character vector
- code
a numeric vector
Examples
data(charcoal_methods)
## maybe str(charcoal_methods) ; plot(charcoal_methods) ...
Date table
Description
Table with the dating information contained in GCD
Format
A data frame with 4872 observations on the following 8 variables.
- ID_SITE
a numeric vector
- DATE_LAB_NUMBER
a factor with many levels
- DEPTH
a numeric vector
- TICKNESS
a numeric vector
- AGE
a numeric vector
- ERROR
a numeric vector
- ID_DATE_TYPE
a numeric vector
- ID_MAT_DATED
a factor with levels
obtained ~~
Examples
data(date)
## maybe str(date) ; plot(date) ...
Type of dates in date.rda
Description
Type of dates in date.rda
Format
A data frame with 31 observations on the following 4 variables.
- ID_DATE_TYPE
a numeric vector
- DATE_TYPE_CODE
a character vector
- DATE_TYPE_NAME
a character vector
- DATE_TYPE_NUMBER
a numeric vector
obtained ~~
Examples
data(date_type)
## maybe str(date_type) ; plot(date_type) ...
Depositional contexts
Description
Depositional contexts
Format
A data frame with 17 observations on the following 4 variables.
- ID_DEPO_CONTEXT
a numeric vector
- DEPO_CONTEXT_CODE
a character vector
- DEPO_CONTEXT_NAME
a character vector
- DEPO_CONTEXT_NUMBER
a numeric vector
Examples
data(depo_context)
## maybe str(depo_context) ; plot(depo_context) ...
Landscape description elements
Description
Landscape description elements
Format
A data frame with 20 observations on the following 3 variables.
- ID_LANDS_DESC
a numeric vector
- LANDS_DESC_CODE
a character vector
- LANDS_DESC_NAME
a character vector
Examples
data(lands_desc)
## maybe str(lands_desc) ; plot(lands_desc) ...
Material Dated
Description
Material Dated
Format
A data frame with 23 observations on the following 4 variables.
- ID_MAT_DATED
a numeric vector
- MAT_DATED_STANDARD_LEVEL
a character vector
- MAT_DATED_TYPE
a character vector
- MAT_DATED_HIGH_LEVEL
a character vector
obtained ~~
Examples
data(mat_dated)
## maybe str(mat_dated) ; plot(mat_dated) ...
GCD Charcoal data
Description
Charcoal series from the Global Charcoal Database
Format
A data frame with 134269 observations on the following 4 variables.
- ID_SITE
a numeric vector
- DEPTH
a numeric vector
- EST_AGE
a numeric vector
- QUANTITY
a numeric vector
- METHOD
a factor with levels
ACID
CPRO
GRAV
HNPK
HVLQ
IMAG
NOTK
OREC
OTHE
POLS
SIEV
- UNIT
a factor see
paleofiresites
for details- TYPE
a factor with levels
C0P0
CONC
INFL
NOTK
OTHE
SOIL
Examples
data(paleofiredata)
## maybe str(paleofiredata) ; plot(paleofiredata) ...
GCD sites information
Description
Sites description and features
Format
A data frame with 881 observations on the following 17 variables.
id_site
sites primary key from GCD v4.x.x
id_site_old
sites primary key from GCD v3.x.x, deprecated
pref_units
a factor, see help("charcoal_units") and data("charcoal_units") for details
site_name
a character vector
lat
a numeric vector
long
a numeric vector
elevation
a numeric vector of elevations
country
a character vector
continent
a factor with levels
Africa
Antarctica
Asia
Australia
Europe
North America
South America
ISO3
ISO3 code by country
num_dating
a numeric vector
min_est_age
a numeric vector
max_est_age
a numeric vector
num_samp
a numeric vector
has_depth
factor indicating presence of depths associated to ages
date_int
a numeric vector, interval in years between two dates
qtype
a factor, see help("charcoal_units") and data("charcoal_units") for details
water_depth
a numeric vector
depo_context
a character vector, see help("depo_contex") and data("depo_contex") for details
id_site_type
a character vector, see help("site_type") and data("site_type") for details
id_basin_size
a character vector, see help("basin_size") and data("basin_size") for details
id_lands_desc
a character vector, see help("lands_desc") and data("lands_desc") for details
l12
a numeric vector, Levavasseur et al. 2012
rf99
a numeric vector, Ramankutty et al. 1999
gcd_version
main GCD releases
num_version
a numeric vector: version number 401 meaning 4.0.1
update_date
date of data update in the GCD
Details
l12 levels0= Water
1= Boreal forest
2= Desert vegetation
3= Grassland and dry shrubland
4= Savannas abd dry woodlands
5= Temperate forest
6= Tropical forest
7= Tundra
8= Warm temperate
9= Warm desert
10= Cold desert
rf99 levels 0= Water
1= Tropical Evergreen
Forest/Woodland
2= Tropical Deciduous Forest/Woodland
3=
Temperate Broadleaf Evergreen Forest/Woodland
4= Temperate
Needleleaf Evergreen Forest/Woodland
5= Temperate Deciduous
Forest/Woodland
6= Boreal Evergreen Forest/Woodland
7=
Boreal Deciduous Forest/Woodland
8= Evergreen/Deciduous Mixed
Forest/Woodland
9= Savanna
10= Grassland/Steppe
11= Dense Shrubland
12= Open Shrubland
13=
Tundra
14= Desert
15= Polar Desert/Rock/Ice
References
Ramankutty, N., and J.A. Foley (1999). Estimating historical
changes in global land cover: croplands from 1700 to 1992, Global
Biogeochemical Cycles 13(4), 997-1027.
Levavasseur, G., M. Vrac, D.
M. Roche, and D. Paillard. 2012. Statistical modelling of a new global
potential vegetation distribution. Environmental Research Letters 7:044019.
Examples
data(paleofiresites)
## maybe str(paleofiresites) ; plot(paleofiresites) ...
Publication List
Description
List of GCD publications with DOI and link.
Usage
data("pub")
Format
A data frame with 664 observations on the following 4 variables.
id_pub
a numeric vector
citation
a character vector
link
web adresses
DOI
DOI
Examples
data(pub)
## maybe str(pub) ; plot(pub) ...
Type of sites
Description
Type of sites
Format
A data frame with 53 observations on the following 4 variables.
- ID_SITE_TYPE
a numeric vector
- SITE_TYPE_LEVEL
a character vector
- SITE_TYPE_DESC
a character vector
- SITE_TYPE_HIGH_LEVEL
a character vector
Examples
data(site_type)
## maybe str(site_type) ; plot(site_type) ...